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BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

25 October 2019
Colin White
W. Neiswanger
Yash Savani
    BDL
ArXivPDFHTML

Papers citing "BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search"

12 / 162 papers shown
Title
Hyperparameter optimization with REINFORCE and Transformers
Hyperparameter optimization with REINFORCE and Transformers
C. Krishna
Ashish Gupta
Swarnim Narayan
Himanshu Rai
Diksha Manchanda
11
2
0
01 Jun 2020
Exploring the Loss Landscape in Neural Architecture Search
Exploring the Loss Landscape in Neural Architecture Search
Colin White
Sam Nolen
Yash Savani
8
26
0
06 May 2020
AutoTune: Automatically Tuning Convolutional Neural Networks for
  Improved Transfer Learning
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning
S. H. Shabbeer Basha
Sravan Kumar Vinakota
Viswanath Pulabaigari
Snehasis Mukherjee
S. Dubey
24
39
0
25 Apr 2020
Neural Architecture Generator Optimization
Neural Architecture Generator Optimization
Binxin Ru
P. Esperança
Fabio Maria Carlucci
17
40
0
03 Apr 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Chen Wei
Chuang Niu
Yiping Tang
Yue Wang
Haihong Hu
Jimin Liang
24
7
0
28 Mar 2020
Flexible Multi-task Networks by Learning Parameter Allocation
Flexible Multi-task Networks by Learning Parameter Allocation
Krzysztof Maziarz
Efi Kokiopoulou
Andrea Gesmundo
L. Sbaiz
Gábor Bartók
Jesse Berent
27
13
0
10 Oct 2019
MANAS: Multi-Agent Neural Architecture Search
MANAS: Multi-Agent Neural Architecture Search
Vasco Lopes
Fabio Maria Carlucci
P. Esperança
Marco Singh
Victor Gabillon
Antoine Yang
Hang Xu
Zewei Chen
Jun Wang
22
23
0
03 Sep 2019
ChemBO: Bayesian Optimization of Small Organic Molecules with
  Synthesizable Recommendations
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
Ksenia Korovina
Sailun Xu
Kirthevasan Kandasamy
W. Neiswanger
Barnabás Póczós
J. Schneider
Eric P. Xing
28
121
0
05 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,419
0
02 Aug 2019
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter
  Optimization
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization
Gowtham Muniraju
B. Kailkhura
Jayaraman J. Thiagarajan
P. Bremer
C. Tepedelenlioğlu
A. Spanias
17
10
0
05 Sep 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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